Research
New papers from ed tech and student success journals, and preprints from arXiv and EdArXiv
Thursday, August 13
Asynchronous oral assessments:enhancing integrity, engagement, and communication in the AI era
Abstract The shift to online and blended learning, accelerated by the COVID-19 pandemic and the rise of generative AI tools, has intensified the search for valid and secure assessment methods. Oral assessments have long been recognized for their ability to authentically measure understanding, foster deeper engagement,…
doi.orgDeveloping Social Capital for College Teaching: Exploring Connections Between Faculty Teaching-Focused Personal Networks and Evidence-Based Teaching
Evidence-based teaching is widely recognized as critical for student learning in science, technology, engineering, mathematics, and medicine (STEMM), yet whether and how faculty develop these instructional practices through their social ties remains less well understood. To illuminate these dynamics, this study…
doi.orgFinancial Vulnerability: A Latent Class Approach to Understanding the Relationship Between Student Success and Financial Situations at Community Colleges
As institutions strive to enhance their interventions for students facing financial stress, additional research into who these students are and how their financial choices are associated with their persistence is critical. In this study, we focus on how student tuition financing is associated with student persistence.…
doi.org
Wednesday, August 12
Exploring students’ dialogic patterns and argumentation skills in a computer-supported critical discussion activity
doi.orgGeneralizability and Transferability of Course Workload Models Across Institutions
Accurately predicting course workload is an emerging approach to identifying institutional workload trends and supporting students in mitigating risks such as excessive stress and course dropout. However, replicating these predictive models across different institutional contexts remains underexplored. In this study,…
jedm.educationaldatamining.org
Tuesday, August 11
Combining AI and corpus technology in language teaching: Professional development and knowledge co-construction using the CoI framework
As established technologies (e.g., corpus technology) and emerging ones (e.g., generative AI) reshape language education, teachers need clear, evidence-based approaches to integrate both into practice. This mixed-methods study examined how over 150 language teachers co-developed AI-empowered TPACK for corpus…
doi.orgIntegrating LLM with consortium blockchain for personalized and verifiable online education in higher education
Abstract Online Education in Higher Education is rapidly evolving through the integration of Large Language Model (LLM)-powered intelligent systems, which enable personalized tutoring, dynamic content generation, and automated assessment. However, the widespread adoption of LLMs in education is hampered due to their…
doi.orgPredicting Early Dropout in University Entry Cohorts: Temporal Inter-Cohort Validation in a Chilean Public University
Early university dropout remains a major concern for higher education, particularly amid expanded access, diverse student profiles, and institutional efforts to promote persistence. This study evaluates predictive models of early dropout at a Chilean university using ten entry cohorts from 2014 to 2023 and an…
doi.orgThe Commodification of Doctoral Student Agency in STEM Lab Supervision: A Phenomenologically Directed Study
Higher education research on STEM lab supervision has often addressed the dynamics of doctoral agency through three parallel strands of scholarship: the restriction of research judgment, the redefinition of scholarly self-understanding, and the redirection of agency toward productivity-oriented self-management. What…
doi.org
Monday, August 10
Not for people like me: How frontier AI models redirect skeptical rural school staff
doi.orgNeuro-symbolic pedagogical alignment (NSPA) for long-horizon classroom discourse analysis: Mitigating dialect bias via counterfactual preference optimization
Automated analysis of classroom discourse has traditionally relied on discriminative Transformer architectures like RoBERTa to classify isolated utterances, an approach that inherently struggles with long-horizon dependencies and exhibits significant algorithmic bias against speakers of non-standard dialects of…
doi.orgLLMs in text linguistics teaching: an exploratory study with genAI novices in higher education
This study examines the use of LLMs in text linguistics education, focusing on novices in generative AI (genAI) and their ability to design prompts and evaluate AI-generated outputs. Employing an action research design in higher education, it investigates prompting strategies, student perceptions, and learning…
doi.orgThe readiness of pre-service teachers to teach Coding and Robotics
This study explores pre-service teachers' engagement with Coding and Robotics within a teacher education programme. It aims to determine their readiness through their behavioural intention to teach this new subject in South Africa. A quantitative analysis of behavioural intention predictors was conducted on data…
doi.orgArtificial intelligence applications in education: ChatGPT supported development of career promotion content
doi.orgHow do students’ AI interactions, dispositions, and prompt engineering skills shape human–AI collaboration in middle school STEM education?
doi.org
Sunday, August 9
The National FEE‑FREE Uni Ready (FFUR) Project, Report on Policy Settings and Best Practice Guide. A Good Practice Report
This good practice report outlines findings from the recently completed National FEE‑FREE Uni Ready (FFUR) Project (2026) to share the work and recommendations on FFUR policy settings and principles. Together, these aim to strengthen transitions into higher education for underrepresented cohorts. We focus on…
doi.orgFrom Data to Practice Change: Co-designing a Subject Dashboard That Enables Inclusive, Evidence-informed Teaching. A Good Practice Report
Higher education institutions are increasingly data-rich yet insight-poor, with learning analytics often experienced by academics as difficult to interpret and disconnected from everyday teaching practice. Transition pedagogy emphasises that intentional inclusive practice relies on educators having a clear,…
doi.org
Saturday, August 8
Exploring group cohesion dynamics and the role of regulation in collaborative problem-solving using multimodal learning analysis
doi.orgUnpacking AI–education discourse: Topic modeling and fsQCA of Technology–Resilience dynamics in pedagogical perceptions
doi.orgLearning paths and patterns in learning design: Insights from 500+ courses
Learning design (LD) has a prominent role in ensuring the quality of teaching and learning. It should be based on student-centered approaches and intended learning outcomes, which are constructively aligned with teaching and learning activities (TLAs) and assessment. To support overarching change management and mutual…
doi.orgBridging strategy gaps in programming: the role of visual scaffolding for learners with low cognitive ability
Abstract As programming education gains global importance, learners often struggle due to the cognitive demands, particularly in textual environments. Visual programming tools have been developed to ease this burden, but learners’ cognitive abilities—specifically executive function (EF)—may still affect their…
doi.orgEnhancing Student-Athlete Belonging Through an Identity-Focused Intervention
The (re)Framing Identity, Belonging, Engagement, and Relationships intervention, also referred to as, (re)FIBER, demonstrates how a brief, theory-informed program can meaningfully influence student-athletes’ social and digital engagement. By centering identity, belonging, and authenticity, (re)FIBER provides a…
doi.orgPassion for Advocacy and Community: Gay Men and Elected Student Government
Leadership experiences for gay college men span an abundance of roles, organizations, and communities. After phenomenological interviews with 24 openly gay men who served in elected student government, responses suggested these men ascended to and through student government with a passion for advocacy and community,…
doi.orgArtificial Intelligence in Student Affairs and Services: A Global Study on Adoption, Perceptions, and Ethical Considerations
Rapid advancement of artificial intelligence is transforming higher education, including student affairs and services (SAS). This study presents findings from a global survey of SAS practitioners examining adoption, perceptions, and ethics regarding AI integration in their work. Drawing on a Technology Acceptance…
doi.orgEarly Adversity and Mental Health: Challenges Facing Latinx Students in Higher Education
Latinx college students experience disproportionately high rates of depression. This study examined how known risk factors, adverse childhood experiences (ACEs), and alcohol use, relate to depressive symptoms among a nationwide sample (n = 346) of Latinx students, accounting for Hispanic-Serving Institution status.…
doi.orgFrom “Friendsgiving” to Group Advising: Student Mattering in HESA Master’s Programs
Current higher education and student affairs (HESA) conversations highlight the complexities of administrative roles and the need to effectively prepare graduate students. This study asks: what are higher education and student affairs master’s program graduates’ reflections on experiences with marginality and…
doi.org
Friday, August 7
Effects of AI chatbot‐supported cooperative flipped classroom on student collaboration, self‐regulated learning and academic performance: A mastery learning perspective
Abstract Despite the increasing application of AI chatbots, few studies have examined the effectiveness of AI chatbot‐supported cooperative‐flipped classrooms in university teaching. Based on mastery learning theory, this study employed a quasi‑experimental design to examine how an AI chatbot‐supported…
doi.orgFrom emotion regulation to academic success: A self‐determination theory‐based emotional agent‐mediated approach
Abstract Emotion regulation has been recognized as a key factor affecting students' academic success. However, in conventional school settings, it is challenging to foster students' emotion regulation owing to the involvement of complex factors that might influence students' conscious and unconscious behaviours. To…
doi.orgFederated learning for privacy-preserving at-risk student prediction in health professional education: A multi-scenario evaluation of FedAvg and FedProx
Student attrition in health professional education (HPE) carries serious implications for institutional performance and healthcare workforce supply, yet cross-institutional prediction is impeded by privacy regulations that prevent raw data sharing. This study presents, to the best of the authors' knowledge, the first…
doi.orgCreating digital twins awareness in African higher education institutions: Bibliometric analysis from top influential countries
doi.orgRethinking data privacy for AI Adoption in African Higher Education: A meta-synthesis of stakeholder perceptions and policy implications
The growing adoption of artificial intelligence (AI) in African higher education offers opportunities for personalized learning, improved decision-making, and educational innovation. However, AI systems rely heavily on student and institutional data, raising significant privacy concerns within contexts characterized…
doi.orgFacts or fiction? Exploring the potential of The Great Zimbabwe board game as a pedagogical tool for African archaeology and recent history
doi.orgDoes Interaction Quality Enhance Motivation Among Online Postsecondary Students? Exploring the Mediating Role of Anxiety
The literature has highlighted the importance of engaging students in online learning through multiple forms of interaction: student-content, student-instructor, and student-student interactions. While the quality of interaction plays a significant role in either enhancing or undermining students’ motivation to learn,…
doi.orgAn Exploratory Factor Analysis of the Online Information Literacy Self-Efficacy (OILS) Instrument
The purpose of this study was to develop and validate an effective instrument to measure undergraduate students’ self-efficacy in engaging with information for online coursework. Recognizing the increasing importance of information literacy in online learning environments, the Online Information Literacy Self-Efficacy…
doi.orgNovel Technologies in Nurse Practitioner Education: An Integrative Review
The use of technology in healthcare education is rapidly expanding. Undergraduate nursing programs have integrated advanced technologies such as high-fidelity simulation, immersive virtual reality, augmented reality, and holographic simulations to support learning and improve retention in both in-person and distance…
doi.orgThe 20-Year Evolution of Distance Education: A Bibliometric and LDA-Based Topic Model Analysis
Although research on distance education has increased substantially in recent years, comprehensive analyses capturing the overall thematic development of the field remain limited. Modeling studies are necessary to address this gap and to uncover long-term research trends. This study aimed to reveal the trends of…
doi.orgEnrollment Decline and the Digital Divide in Rural Elementary Schools: Implications for Equity in Basic Education
This study explores the decline in student enrollment in rural elementary schools in Banyumas Regency, Indonesia, as a pressing challenge for educational equity in the digital era. Using a qualitative descriptive design, data were collected through interviews with principals, teachers, parents, and community leaders,…
doi.orgPredicting Student Outcomes in Open High Schools Using Educational Data Mining
Open high schools fulfill a critical function by offering flexible educational pathways for students encountering diverse socioeconomic and personal challenges. Nevertheless, escalating dropout rates represent a significant concern, necessitating robust predictive models to facilitate early interventions. This study…
doi.orgDetermining Accountability in AI-Assisted Scholarship: A Report and Recommendations
The proliferation of generative artificial intelligence (GenAI) presents a significant challenge to traditional notions of accountability in scholarly publishing. This report addresses the pressing question of who is responsible for the content of academic work when its creation involves AI assistance. It does so by…
doi.orgArtificial Intelligence in Online Learning: Using BERTopic to Track Research Topics and Their Evolutions
Artificial intelligence in online learning (AIOL) has attracted increasing attention in academia. This study applied BERTopic, a transformer-based topic modeling approach that leverages contextual embeddings, to examine the thematic structure and evolution of AIOL research. By analyzing 1,048 AIOL publications, this…
doi.orgStructure and Content of Interactions: Social Presence in Asynchronous Online Whole-Class vs. Small-Group Discussions
This study investigates how the format of asynchronous online class discussions (whole class vs. small group) affects the structure and content of student interactions. Data were collected from 8 weeks of discussion forums in a graduate-level, asynchronous, online course at a comprehensive university in the…
doi.orgBlended Learning in a Post-Pandemic Context: A Cross-Sectional Study on Turkish EFL Learners’ Perspectives
During the COVID-19 pandemic, various institutions took measures to prevent the spread of the virus. Educational institutions contributed to these efforts by shifting from face-to-face to online learning. One such approach was blended learning, which served as a transitional model between the two. Blended learning has…
doi.orgArtificial Intelligence in Scholarly Peer Review: Ethical Considerations, Current Practices, and Future Implications
The integration of artificial intelligence (AI) into scholarly peer review represents a fundamental transformation of academic publishing’s quality control mechanisms. This report critically examined the ethical considerations, institutional practices, and emerging technologies associated with AI-assisted peer review.…
doi.orgThe Present and Future Landscape of AI in Scholarly Publishing
doi.orgBetween Obligation and Aspiration: Motivation, Emotions, and Systemic Barriers in Online Professional Development for Rural Teachers
This study investigates how rural teachers in China experience online professional development (OPD), focusing on the affective, motivational, and structural dimensions of their engagement. Drawing on in-depth interviews with 30 rural primary and secondary school teachers, this study employed sentiment analysis and…
doi.orgBuilding a Framework to Guide the Design and Development of Open Educational Practices for the Digital Training of University Professors
In the context of widespread digitalization in higher education, enhancing teacher digital competence (TDC) has become a critical priority. However, institutional efforts to advance TDC, including the development of open educational resources (OER), are often hindered by the prevalence of training models that lack…
doi.orgFrom Consumers to Creators: How Student Participation in OER Development Transforms Understanding of Open Licensing and Improves Digital Literacy
Open educational resources (OER) have emerged as key tools in democratizing education, and the levels of student awareness of OER, as well as engagement and use in many Canadian institutions, are increasing. This study explores whether involving undergraduates in the creation of OER improves their understanding of…
doi.orgSystemic Vulnerabilities in Online Education: Diagnosing and Meeting K–12 Teacher Preparation Needs
This mixed-methods study developed and evaluated a comprehensive 5-week asynchronous in-service training program to enhance K–12 teachers’ online education competencies across pedagogical, social, managerial, and technical domains. Following needs assessment, 21 teachers in Türkiye participated using the Canvas…
doi.org
Thursday, August 6
Exploring basic school leaders' AI readiness: The role of professional development
The UNESCO declaration that teachers should be AI-competent by 2030 poses a challenge for basic school leaders, who should be at the forefront of integration within the school system. This study explored the perceptions of basic school leaders regarding AI readiness in selected Nigerian schools and the role of…
doi.orgAI training and science student teachers’ TPACK in campus-based and distance education: a comparative study
Despite AI’s growing educational potential, little is known about science student teachers’ preparedness to integrate it into classroom practice. This study examined whether AI training level and institutional context were associated with student teachers’ TPACK. Using a quantitative, comparative, descriptive survey…
doi.org